Lao People S Democratic Republic GIS data
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Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Vietnam Commune Boundaries provides a 2022 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2022 boundaries are provided by Michael Bauer Research GmbH. These were published in December 2022. Other administrative boundaries for this country are also available: Country Tinh Huyen
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Vietnam Huyen Boundaries provides a 2022 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2022 boundaries are provided by Michael Bauer Research GmbH. These were published in December 2022. Other administrative boundaries for this country are also available: Country Tinh Commune
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Vietnam Country Boundary provides a 2022 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2022 boundaries are provided by Michael Bauer Research GmbH. These were published in December 2022. Other administrative boundaries for this country are also available: Tinh Huyen Commune
Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Vietnam Tinh Boundaries provides a 2022 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2022 boundaries are provided by Michael Bauer Research GmbH. These were published in December 2022. Other administrative boundaries for this country are also available: Country Huyen Commune
This UNOSAT LIVE map integrates geo-spatial data in support of response efforts following Tropical Cyclone SONCA-17, after it made landfall in Laos on 26 July 2017. More specifically, it was created with the aim of supporting a food security field assessment carried out by World Food Programme on the ground. Up-to-date, comprehensive satellite image derived flood analyses are displayed, together with photos automatically uploaded from the UN-ASIGN smartphone app. Additional supporting GIS data are also included on the map.
**UNOSAT code FL20230807LAO** This map illustrates cumulative satellite-detected surface waters over Khammouan & Savannakhet Provinces, Lao PDR as oberved from a Sentinel-1 image acquired on 04 August 2023 at 18:04 local time. Within the analysed area of about 25,000 km², a total of about 160 km² of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the analysed area, ~18,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscaterring properties of the radar signal.
**UNOSAT code TC20220928LAO, GDACS Id: 1000922** This map illustrates satellite-detected surface waters in Khongxedone District, Saravan Province & Sanasomboon, Champasak Province, Lao PDR as observed from a Sentinel-1 image acquired on 1 October 2022 at 05:45 local time. Within the extent of this map of 600 km2, about 14 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the map extent, about 1,800 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
**UNOSAT code TC20220928LAO, GDACS Id: 1000922** This map illustrates satellite-detected surface waters in Sukhuma District, Champasak Province, Lao PDR as observed from a Sentinel-1 image acquired on 1 October 2022 at 05:45 local time. Within the extent of this map of 360 km2 , about 12 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the map extent, about 2,500 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.
This map illustrates the satellite-detected water extent in the district of Khamkeuth in Borikhamxay province, in the central-northern part of Lao People’s Democratic Republic after the tropical storm SONCA-17. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 11 August 2017 and detected several areas with potentially standing waters. In the district of Khamkeuth ~2,441 ha are likely flooded. Kindly note, the district of Khamkeuth has been partially analyzed due to the image does not cover the full district. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
**UNOSAT code: FL20190905LAO** This map illustrates satellite-detected surface water in Salavan provinces of Lao PDR as observed from Sentinel-1 imagery acquired on 10 September 2019. Within the analysed extent of about 4,000 km2, a total about 4 km2 of land appear to be flooded as of 10 September 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1 imagery acquired on 10 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal
This map illustrates the satellite-detected surface waters extent in Sanamxay district, Attapeu province, as observed from the Radarsat-2 radar image acquired on 24 July 2018. The previous day, the Xe-Namnoy dam collapsed, inducing flash floods along the Vang Ngao river and affecting several villages located 50 km downstream. Within the analysed area 14,692 ha of surface waters were detected after the heavy rains that happened on 22 July and as well the collapse of the dam. Several villages and surrounding agricultural fields seems to be inundated. The villages of Ban Hinlat, Ban Thaseangchan, Ban Mai and Ban Samong-tai seems to be the most affected ones. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along the main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
This map illustrates the satellite-detected surface waters extent in Sanamxay district, Attapeu province, as observed from the TerraSar-X and Tandem-X radar imagery acquired on 27 July 2018. Satellite detected water extent analysis was performed by Centro Internazionale In Monitoraggio Ambientale Research (CIMA) & Luxembourg Institute of Science and Technology (LIST). Within the analyzed area, a total of 7,405 ha were detected as inundated, four days after the collapse of the dam. Disclaimer: Flood extent maps are derived from high quality satellite data using a scientifically validated retrieval algorithm. No liability concerning the contents or the use thereof is assumed by the producer. The information has limitations due to the quality and resolution of the original data sources, as well as the uncertainties associated with the retrieval algorithm. Please be aware that the thematic accuracy might be lower in urban and forested areas due to inherent limitations of the SAR analysis technique. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
**UNOSAT code: FL20190905LAO** This map illustrates satellite-detected surface water in Attapeu provinces of Lao PDR as observed from Sentinel-1 imagery acquired on 10 September 2019. Within the analysed extent of about 6,000 km2, a total about 14 km2 of land appear to be flooded as of 10 September 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1 imagery acquired on 10 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal
This analysis illustrates a time series analysis of the evolution of satellite-detected surface waters in Sanamxay district, Attapeu province, based on satellite data recorded on 13, 25 and 29 July 2018.
**UNOSAT code: FL20190905LAO** This map illustrates satellite-detected surface water in Champasak province of Lao PDR as observed from Sentinel-1 imagery acquired on 10 September 2019. Within the analysed extent of about 14,400 km2, a total about 53 km2 of land appear to be flooded as of 10 September 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1 imagery acquired on 10 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal
This map illustrates the satellite-detected surface waters extent in Samakkhixay district, Attapeu province, as observed from the KOMPSAT-5 imagery acquired on 30 July 2018. Satellite detected water extent analysis was performed by Centro Internazionale In Monitoraggio Ambientale Research (CIMA) & Luxembourg Institute of Science and Technology (LIST). Within the current map extent, a total of 1,617 ha were detected as inundated along the Xe Kong river. Disclaimer: Flood extent maps are derived from high quality satellite data using a scientifically validated retrieval algorithm. No liability concerning the contents or the use thereof is assumed by the producer. The information has limitations due to the quality and resolution of the original data sources, as well as the uncertainties associated with the retrieval algorithm. Please be aware that the thematic accuracy might be lower in urban and forested areas due to inherent limitations of the SAR analysis technique. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
**UNOSAT code: FL20190905LAO** This map illustrates satellite-detected surface water in Khammouan and Savannakhet Province of Lao PDR as observed from Sentinel-1 imagery acquired on 11 September 2019. Within the analysed extent of about 8,300 km2, a total about 332 km2 of land appear to be flooded as of 11 September 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT. Important Note: Flood analysis from Sentinel-1 imagery acquired on 11 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal
This map illustrates a time series analysis of the evolution of satellite-detected surface waters in Sanamxay district, Attapeu province, based on satellite data collected on 13, 25 and 29 July 2018. Within the current map extent, on 13 July 2018, before the collapse of the dam, a total surface of 47,717 ha was detected as inundated and the reservoir controlled by the dam was full of water. As of 25 July 2018, two days after the dam collapsed, an additional surface of 7,531 ha of inundated areas were detected, representing an increase of the surface waters of 16%. On 29 July 2018, floodwaters are receding, especially along the riverbanks of Xe Kong River. A total surface of 30,435 ha was detected as inundated at that date, representing a decrease of the surface waters of 45%. The reservoir that was controlled by the dam has continuously decreased in its size since the dam collapsed. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. Additional optical VHR data are needed to validate analysis over areas covered by mud, hardly detected by radar data. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
This map illustrates the evolution of satellite-detected surface waters in Sanamxay district, Attapeu province, as observed from the Radarsat-2 radar image acquired on 24 July 2018 and compared with a Radsarsat-2 image acquired on 10 July 2018. As of 10 July 2018, flooded areas and saturated soils were already visible, due to the heavy rains that happened previously to the collapse of the dam. As well, the reservoir controlled by the dam was full of water. As of 24 July 2018, an additional surface of 5,826 ha of inundated areas were detected, representing an increase of the surface waters of 66%, due to the collapse of the dam. At this date, the reservoir that was controlled by the dam has decreased in its size. Several villages and surrounding agricultural fields seems to be inundated. The villages of Ban Hinlat, Ban Thaseangchan, Ban Mai and Ban Samong-tai seems to be the most affected ones. It is likely that flood waters have been systematically underestimated along highly vegetated areas, along the main riverbanks and within built-up urban areas because of the special characteristics of the used satellite data. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
**UNOSAT code: FL20190905LAO** This map illustrates satellite-detected surface water in southern provinces of Lao PDR as observed from Sentinel-1 imagery acquired on 6 September 2019. Within the analysed extent of about 60,000 km2, a total about 1,000 km2 of land appear to be flooded as of 6 September 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important Note: Flood analysis from Sentinel-1 imagery acquired on 6 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal
**UNOSAT code: FL20240913LAO** This map illustrates the floods detected using Sentinel-1 images acquired on 11 September 2024 at 06:07 local time. Within the analysed area of approximately 60 km², about 7 km² of land appears to be affected by floodwaters, including 6 km² of croplands. According to WorldPop spatial demographic data, an estimated 2,500 people are exposed to or living near the flooded areas. Please note that this is a preliminary analysis and has not been validated in the field. We welcome any ground feedback that can be provided to the United Nations Satellite Centre (UNOSAT). Important: Flood analysis based on radar images may underestimate the extent of standing water in built-up or densely vegetated areas due to the radar signal's backscattering properties.
**UNOSAT code: FL20240913LAO** This map illustrates the floods detected using Sentinel-1 images acquired on 18 September 2024 at 06:00 local time in Bolikhamzai Province. Within the analysed area of approximately 16,000 km², about 270 km² of land appears to be affected by floodwaters. The extent of the flooding has increased by approximately 230 km² since the previous observation on 6 September 2024. Based on WorldPop spatial demographic data, an estimated 15,500 people are currently exposed to or residing near the flooded areas. Please note that this is a preliminary analysis and has not been validated in the field. We welcome any ground feedback that can be provided to the United Nations Satellite Centre (UNOSAT).
**UNOSAT code: FL20240913LAO** This map illustrates the floods using Sentinel-1 images acquired on 18 September 2024 at 06:00 local time. Within the analyzed area of approximately 7,000 km², around 230 km² of land appears to be affected by floodwaters. The extent of the flooding has increased by approximately 50 km² since the previous observation on 13 September 2024. Based on WorldPop spatial demographic data, an estimated 26,000 people are currently exposed or residing near the flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.
**UNOSAT code: TC20250722LAO, GDACS ID: 1001181** This map illustrates the satellite detected water extent in akkading District, Bolikhamxai Province Lao PDR as observed from Sentinel-1 satellite images acquired on 23 July 2025 at 18:12 local time (11:12 UTC). Within the analyzed area of approximately 600 km², about 20 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 1,800 people are potentially exposed or living close to the flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal
**UNOSAT code: TC20250722LAO, GDACS ID: 1001181** This map illustrates the satellite detected water extent in Pek and Phaxay Districts, Xiengkhouang Province, Lao PDR as observed from Sentinel-1 satellite images acquired on 23 July 2025 at 18:12 local time (11:12 UTC). Within the analyzed area of approximately 700 km², about 15 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 800 people are potentially exposed or living close to the flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal
**UNOSAT code: TC20250722LAO, GDACS ID: 1001181** This map illustrates the satellite detected water extent in Bolikhanh and Pakxane Districts, Bolikhamxai Province, Lao PDR as observed from Sentinel-1 satellite images acquired on 23 July 2025 at 18:12 local time (11:12 UTC). Within the analyzed area of approximately 1,400 km², about 14 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 4,600 people are potentially exposed or living close to the flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal
**UNOSAT code: TC20250722LAO, GDACS ID: 1001181** This map illustrates the satellite detected water extent Thoulakhom District, Vientiane Province and Xaythany District, Vientiane Capital, Lao PDR as observed from Sentinel-1 satellite images acquired on 23 July 2025 at 18:12 local time (11:12 UTC). Within the analyzed area of approximately 1,200 km², about 40 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 6,800 people are potentially exposed or living close to the flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal
**UNOSAT code: TC20250722LAO, GDACS ID: 1001181** Status: Landslide and Increased water of Nam Xam River and areas of washaway along the riverbank Further action(s): continue monitoring Summary of findings: Increased water in the Nam Xam River and areas of washaway along the riverbank were observed in Muang Sam Tai, Xamtay District, Houaphan Province as of 28 July 2025. Structures/buildings damaged by landslides were observed in Muang Sam Tai, Xamtay District, Houaphan Province, as of 28 July 2025.
**UNOSAT code: TC20250722LAO, GDACS ID: 1001181** This map illustrates the satellite detected water extent in Vientiane Capital, Vientiane and Bolikhamxai Provinces, Lao PDR as observed from Sentinel-1 satellite images acquired on 27 July 2025 at 06:00 local time (23:00 UTC). Within the analyzed area of approximately 19,000 km², about 130 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 12,000 people are potentially exposed or living close to the flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal
**UNOSAT code: TC20250722LAO, GDACS ID: 1001181** This map illustrates the satellite detected water extent in Bolikhamxai and Khammouan Provinces, Lao PDR as observed from Sentinel-1 satellite images acquired on 28 July 2025 at 05:50local time (22:50 UTC). Within the analyzed area of approximately 14,000 km², about 200 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 14,000 people are potentially exposed or living close to the flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal
**UNOSAT code: TC20250722LAO, GDACS ID: 1001181** This map illustrates satellite-detected mudflow extent in Kham District, Xiengkhouang Province, Lao PDR as observed from Pleiades very high-resolution satellite image acquired on 2 August 2025 at 10:31 local time (03:31 UTC). Within the analyzed area of approximately 160 km², about 8 km² of land appears to be affected by landslides/mudflow. Based on WorldPop population data and the flood extent, approximately 2,300 people are potentially exposed or living close to the flooded areas. Additionally, UNOSAT identified around 970 damaged buildings, four damaged bridges, and approximately 10 km of affected roads. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
This map illustrates the satellite-detected water extent in the Phonhong & Viengkham Districts, Vientiane Province, in the northwestern part of Lao People’s Democratic Republic after the tropical storm SONCA-17. The UNITAR-UNOSAT analysis used a Sentinel-1 satellite image acquired on the 1 August 2017 and detected several areas with potentially standing waters. In the district of Phonhong 2,045 ha are likely flooded and in the district of Viengkham 1,077 ha. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
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